Ying‐Fen Lin

22 papers receiving 270 citations

Peers

Ying‐Fen Lin
Comparison fields: 5 of 34
  • Algebra and Number Theory 85
  • Accounting 170
  • Mathematical Physics 66
  • Strategy and Management 83
  • Geometry and Topology 38
Replace Georg Schneider with:
Georg Schneider Austria
Yong‐Cheol Kim South Korea
Rainer Schulz Germany
Daniel Rees Australia
Tanmay Biswas India
Lucien J. Dhooge United States
Florin Şabac Canada
Özgür Evren Russia
Ali Lazrak Canada
Winston W. Chang United States
Ying‐Fen Lin relative to Georg Schneider Austria Georg Schneider's profile →
Citations per field
00.5×10×20×30×42.5×
Georg Schneider · 1×
Citations per year

Countries citing papers authored by Ying‐Fen Lin

Since Specialization
Citations

This map shows the geographic impact of Ying‐Fen Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying‐Fen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Fen Lin more than expected).

Fields of papers citing papers by Ying‐Fen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Fen Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying‐Fen Lin. The network helps show where Ying‐Fen Lin may publish in the future.

Co-authors

The 9 scholars most cited alongside Ying‐Fen Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying‐Fen Lin Line = papers co-authored together Ying‐Fen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200578
2 201366
3 201233
4 200626
5 200716
6 201116
7 200412
8 20038
9 20116
10 20105
11 20075
12 20094
13 20043
14 20213
15 20123
16 20032
17 20172
18 20042
19 20141
20 20071

About Ying‐Fen Lin

Ying‐Fen Lin is a scholar working on Mathematical Physics, Algebra and Number Theory, Applied Mathematics, Accounting and Strategy and Management, having authored 26 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (14 papers), Advanced Operator Algebra Research (11 papers), Holomorphic and Operator Theory (7 papers), Corporate Finance and Governance (7 papers), Advanced Banach Space Theory (6 papers), Working Capital and Financial Performance (4 papers), Algebraic structures and combinatorial models (3 papers) and Financial Reporting and Valuation Research (3 papers). The work is most often cited by research in Algebra and Number Theory (85 citations), Accounting (170 citations), Mathematical Physics (66 citations), Strategy and Management (83 citations) and Geometry and Topology (38 citations). Ying‐Fen Lin has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Tsai–Lien Wong, Martin Mathieu, К. И. Бейдар, Ngai‐Ching Wong, Jean Ludwig, Lisa Orloff Clark, Becky Armstrong, Ivan G. Todorov and Jun Inoue. Their work appears in journals such as Total Quality Management & Business Excellence, Corporate Governance An International Review, Journal of Operator Theory, Proceedings of the Royal Society of Edinburgh Section A Mathematics and Proceedings of the Edinburgh Mathematical Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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